Azure Microsoft Fabric - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading professional services firm is looking for a Senior Manager in data engineering to design and build data infrastructure solutions. You will leverage your 12-16 years of experience with Azure and big data technologies to create data pipelines and analytical platforms. The ideal candidate has strong SQL skills and a proven ability to lead technical teams in delivering solutions that drive business growth.

Qualifications

• 12-16 years of hands-on experience in data engineering.
• Proficient in Azure cloud computing and big data technologies.
• Strong command over SQL databases and performance tuning.

Responsibilities

• Design, develop, and deploy data pipelines and analytics platforms using Azure Data Services.
• Architect and oversee PySpark Notebooks to process large datasets efficiently.
• Engage with business stakeholders to understand client requirements.

Skills

Azure cloud computing

Big data technologies

SQL databases

PySpark Notebooks

Data visualization tools

Education

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Tools

Azure Data Services

SparkSQL

Tableau

DataBricks

Job description

Job Overview

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Responsibilities

• Design, develop, and deploy data pipelines and analytics platforms using Azure Data Services and Microsoft Fabric.
• Architect and oversee PySpark Notebooks and SparkSQL jobs to process large‑scale datasets efficiently.
• Develop and optimize SQL database solutions to support analytics, reporting, and data integration needs.
• Engage with business stakeholders to understand client requirements and build technical solutions and delivery plans.
• Lead technical teams, guiding and mentoring team members.
• Present technical and executive presentations to leadership.

Qualifications

Years of Experience: 12‑16 years of hands‑on experience.

Must Have

• Proficient with Azure cloud computing and big data technologies.
• Deep understanding of traditional and modern data architecture and processing concepts, including relational databases, data warehousing, big data, NoSQL, and business analytics.
• Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, and Azure Analysis Services.
• Experience building stream‑processing systems using Spark‑Streaming or similar solutions.
• Hands‑on experience with Microsoft Fabric and its components.
• Proficient in PySpark Notebooks for building scalable data processing pipelines.
• Strong command over SQL databases and performance tuning for analytical workloads.
• Solid experience with SparkSQL for complex data transformations and querying.

Good To Have Skills

• Knowledge of Snowflake Cortex, Snowflake AI features, and Sigma.
• Knowledge of data integration tools like Informatica, DataStage, or Ab Initio.
• Familiarity with data visualization tools such as Tableau or Qlik.
• Experience with programming languages such as Python, Java, or PySpark.
• Certifications related to cloud data warehousing or Snowflake.
• Experience in pre‑sales engagements and proposal development.

Additional Skills

• Excellent communication skills, client presence, and presentation skills.
• People skills and leadership skills.
• Engage with business and technical teams to drive consensus.

Professional And Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

Additional Information

• Travel Requirements: Travel to client locations may be required as per project requirements.
• Line of Service: Advisory
• Horizontal: Technology Consulting
• Designation: Senior Manager
• Location: Bangalore, India

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Purchasing and Supply Chain

Industries

Professional Services